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King Faisal University: Al Hufūf, Eastern Province , SA

2013-09-11 to present | Lecturer (Chemical Engineering)
Employment
Source: Self-asserted source
Majdi Al Faiad

Works (12)

Accurate prediction of pressure losses using machine learning for the pipeline transportation of emulsions

Heliyon
2024-01 | Journal article
DOI: 10.1016/j.heliyon.2023.e23591
Contributors: Noor Hafsa; Sayeed Rushd; Hadeel Alzoubi; Majdi Al-Faiad
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Crossref

Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming

Materials
2022-10-07 | Journal article
DOI: 10.3390/ma15196959
Contributors: Muhammad Nasir Amin; Muhammad Raheel; Mudassir Iqbal; Kaffayatullah Khan; Muhammad Ghulam Qadir; Fazal E. Jalal; Anas Abdulalim Alabdullah; Ali Ajwad; Majdi Adel Al-Faiad; Abdullah Mohammad Abu-Arab
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Crossref
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Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model

Materials
2022-08-24 | Journal article
DOI: 10.3390/ma15175823
Contributors: Kaffayatullah Khan; Babatunde Abiodun Salami; Arshad Jamal; Muhammad Nasir Amin; Muhammad Usman; Majdi Adel Al-Faiad; Abdullah M. Abu-Arab; Mudassir Iqbal
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Crossref
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Modelling Compression Strength of Waste PET and SCM Blended Cementitious Grout Using Hybrid of LSSVM Models

Materials
2022-07-29 | Journal article
DOI: 10.3390/ma15155242
Contributors: Kaffayatullah Khan; Jitendra Gudainiyan; Mudassir Iqbal; Arshad Jamal; Muhammad Nasir Amin; Ibrahim Mohammed; Majdi Adel Al-Faiad; Abdullah M. Abu-Arab
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Crossref
grade
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Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters

Polymers
2022-06-20 | Journal article
DOI: 10.3390/polym14122509
Contributors: Kaffayatullah Khan; Waqas Ahmad; Muhammad Nasir Amin; Ayaz Ahmad; Sohaib Nazar; Majdi Adel Al-Faiad
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Crossref
grade
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Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete

Materials
2022-05-10 | Journal article
DOI: 10.3390/ma15103430
Contributors: Kaffayatullah Khan; Waqas Ahmad; Muhammad Nasir Amin; Fahid Aslam; Ayaz Ahmad; Majdi Adel Al-Faiad
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Crossref
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Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming

Materials
2022-04-23 | Journal article
DOI: 10.3390/ma15093077
Contributors: Kaffayatullah Khan; Fazal Jalal; Mudassir Iqbal; Muhammad Khan; Muhammad Amin; Majdi Al-Faiad
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Crossref
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Effect of Fineness and Heat Treatment on the Pozzolanic Activity of Natural Volcanic Ash for Its Utilization as Supplementary Cementitious Materials

Crystals
2022-02-21 | Journal article
DOI: 10.3390/cryst12020302
Contributors: Kaffayatullah Khan; Muhammad Nasir Amin; Muhammad Usman; Muhammad Imran; Majdi Adel Al-Faiad; Faisal I. Shalabi
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Crossref
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Towards optimal machine learning model for terminal settling velocity

Powder Technology
2021 | Journal article
DOI: 10.1016/j.powtec.2021.04.011
EID:

2-s2.0-85104069947

Part of ISSN: 1873328X 00325910
Contributors: Rushd, S.; Parvez, M.T.; Al-Faiad, M.A.; Islam, M.M.
Source: Self-asserted source
Majdi Al Faiad via Scopus - Elsevier

Modeling the Settling Velocity of a Sphere in Newtonian and Non-Newtonian Fluids with Machine-Learning Algorithms

Symmetry
2021-01 | Journal article | Author
DOI: 10.3390/sym13010071
Contributors: Sayeed Rushd; Noor Hafsa; Majdi Al Faiad; Md Arifuzzaman
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Multidisciplinary Digital Publishing Institute
grade
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Effect of fineness of basaltic volcanic ash on pozzolanic reactivity, ASR expansion and drying shrinkage of blended cement mortars

Materials
2019 | Journal article
DOI: 10.3390/ma12162603
EID:

2-s2.0-85070956548

Part of ISSN: 19961944
Contributors: Khan, K.; Amin, M.N.; Saleem, M.U.; Qureshi, H.J.; Al-Faiad, M.A.; Qadir, M.G.
Source: Self-asserted source
Majdi Al Faiad via Scopus - Elsevier

Improving monte-carlo and molecular dynamics simulation outcomes using temperature-dependent interaction parameters: The case of pure LJ fluid

International Journal of Computational Methods
2015 | Journal article
DOI: 10.1142/S0219876215500036
EID:

2-s2.0-84928626962

Part of ISSN: 17936969 02198762
Contributors: Al-Matar, A.K.; Tobgy, A.H.; Suleiman, I.A.; Al-Faiad, M.A.
Source: Self-asserted source
Majdi Al Faiad via Scopus - Elsevier
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